Mesh Denoising of Developable Surfaces with Curved Foldings
This paper presents a novel mesh denoising approach designed specifically for developable models with curved folds, going beyond traditional denoising metrics to focus on restoring the model’s developability. We introduce a metric based on normal variation to assess mesh developability and integrate...
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| Vydáno v: | Computer aided design Ročník 177; s. 103776 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.12.2024
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| Témata: | |
| ISSN: | 0010-4485 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | This paper presents a novel mesh denoising approach designed specifically for developable models with curved folds, going beyond traditional denoising metrics to focus on restoring the model’s developability. We introduce a metric based on normal variation to assess mesh developability and integrate it into an optimization problem that aims to increase the sparsity of the normal vector field, leading to a dedicated mesh denoising algorithm. The performance of our method is evaluated across a wide range of criteria, including standard metrics and surface developability determined through Gaussian curvature. Through testing on a variety of noisy models and comparison with several state-of-the-art mesh denoising and developability optimization techniques, our approach demonstrates superior performance in both traditional metrics and the enhancement of mesh developability.
•We propose a metric using normal vector variation for surface developability.•We present a method to denoise a mesh while preserving developability and folds.•Our method surpasses existing ones in traditional metrics and developability. |
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| ISSN: | 0010-4485 |
| DOI: | 10.1016/j.cad.2024.103776 |